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Senior, specialized AI-platform and cloud skills create moderate competition among experienced platform engineers.
Platform and cloud skills are transferable across industries but require specialized consulting and AI-platform experience.
Explicit 8+ years, 4+ years cloud/DevOps, required certifications and specific tools enforce high shortlisting strictness.
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Lead design and implementation of enterprise cloud platforms for applications, data, infrastructure, and AI workloads including migration and modernization initiatives.
Develop reusable platform capabilities, automation, developer tooling, and AI-accelerated development practices ensuring quality, security, and governance.
Engage directly with customers through workshops, technical discovery, and ongoing mentorship while supporting pre-sales and enablement activities.
Bachelor’s degree in Computer Science, Engineering, IT, or equivalent experience.
8+ years professional IT experience; 4+ years specifically in cloud, platform engineering, DevOps, automation, or application modernization.
Hands-on experience with AWS, Azure, or Google Cloud and proven track record in cloud migration and platform modernization projects.
Proficiency in Infrastructure as Code (Terraform, Bicep, etc.), CI/CD, containers, Kubernetes, scripting languages (Python, PowerShell, Bash), and use of AI coding assistants.
Experienced consultant comfortable leading technical discovery, customer workshops, and bridging complex cloud platform solutions with AI-enabled development.
Skilled in applying AI tools responsibly within software development lifecycles and managing operational readiness, security, and governance.
Technically versatile engineer with certifications (e.g., CKA, AWS Solutions Architect, Azure AI) and ability to build reusable platform engineering accelerators across multiple workload types, not limited to AI.